"We anticipate 2025's challenges will persist into 2026," said Teija Heikkila of PET|VET M&A. "Operators should prepare to work harder simply to maintain current revenue levels. The focus should be on ...
Abstract: This research proposes a stacking machine learning method to accurately predict the compressive strength of recycled concrete. The model integrates eXtreme Gradient Boosting (XGBoost), Extra ...
Abstract: Compressive learning (CL) has proven to be highly successful in executing joint signal sampling and inference for intricate vision tasks through resource-limited Internet of Things (IoT) ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results